SJinping's repositories

Gaussian-ellipse

Draw Gaussian distribution erro ellipse with matplotlib

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GMM-overlap-rate

Implement a measurement of overlap rate in Gaussian mixture model

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

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Smadja-Collocations

Extract collocations with Smadja's algorithm

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Ad-papers

Papers on Computational Advertising

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AffectiveSlider

A scientifically-validated digital scale for the self-assessment of emotion.

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Algorithm_Interview_Notes-Chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

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bert

TensorFlow code and pre-trained models for BERT

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bert-chinese-ner

使用预训练语言模型BERT做中文NER

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cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

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Convolutional-LSTM-in-Tensorflow

An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow

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hred-attention-tensorflow

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

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ItChat

A complete and graceful API for Wechat. 微信个人号接口、微信机器人及命令行微信,三十行即可自定义个人号机器人。

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lambdaFM

Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank and Factorization Machines.

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MachineLearningAlgorithm

Implementation of some machine learning algorithms

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models

Models and examples built with TensorFlow

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NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

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NLP-term

NLP 2017 final project

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pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

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pointer-network-tensorflow

TensorFlow implementation of "Pointer Networks"

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pyclust

Data Clustering in Python

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Python

All Algorithms implemented in Python

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pytorch-SkipGram

Implementing Skip-gram Negative Sampling with pytorch

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qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.

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skip-gram-pytorch

A complete pytorch implementation of skip-gram

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tensorflow-vgg

VGG19 and VGG16 on Tensorflow

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text_classification

all kinds of text classificaiton models and more with deep learning

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torch_light

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

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WordProc

These codes are base functions that used to process texts

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